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Subject matter expertise in one or more of the following: Artificial Intelligence (AI), Natural language Processing (NLP), Machine Learning (ML), Statistical Models, and Text Analytics on large data sets.
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Bachelor's or Master's degree with 5+ years of experience in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related field. 10 or more years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering.
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We provide innovative and comprehensive services and solutions that span cloud; systems integration and application management; security; intelligent platform services; infrastructure services; software engineering services; data and artificial intelligence; and global delivery through our Advanced Technology Centers.
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Position Summary In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI.
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The Chief Scientistshould have experience across one or more important technologies in the sensor technology space, which includes signal processing, acoustic, RF and EO/IR hardware, machine learning/artificial intelligence, system integration, field testing, data collection, missions and CONOPs, open architectures and software development, along with a proven track record of delivering quality results to customers in the Department of Defense (DoD) and Intelligence Communities (IC.
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This position requires a very strong general knowledge of machine learning and artificial intelligence so that the candidate can contribute to various machine learning (ML) and artificial intelligence (AI) projects in the Leidos AI/ML Accelerator.
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Bachelor’s Degree in applicable discipline such as software engineering, computer science, computer engineering, electrical engineering, data science, cyber security, mathematics, or aeronautical engineering.
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The Chief Scientist should have experience across the important technologies in the sensor technology space, including signal processing, RF and EO/IR hardware, machine learning/artificial intelligence, system integration, field testing, data collection, missions and CONOPs, open architectures and software development, along with a proven track record of delivering quality results to customers in the Department of Defense (DoD) and Intelligence Communities (IC.
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To support this mission, we are seeking a Systems Engineer to join the Chief Digital and Artificial Intelligence Office (CDAO) Chief Technology Office (CTO) in support of Future Analytic Architecture.
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In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI.
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We are seeking a Principal Applied Scientist who is not just adept in the theoretical aspects of Machine Learning (ML), Artificial Intelligence (AI), and Large Language Models (LLMs) but also possesses a pragmatic, hands-on approach to navigating the complexities of innovation.
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The College stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, community-based healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
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This individual will have a passion for all things Artificial Intelligence and Machine Learning and engender true partnership across teams as we build on Bloomberg Industry’s group history in AI development to continuing growing of our best-in-class business products.
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Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cyber security challenges.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling to data visualization and dashboarding for business intelligence (BI), to predictive analytics, machine learning, and artificial intelligence.
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artificial intelligence data engineering jobs in Arlington, Roanoke, Virginia
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